occheung
/
artiq
forked from M-Labs/artiq
1
0
Fork 0
Code Pull Requests Activity
A leading-edge control system for quantum information experiments
1,915 Commits 14 Branches 35 Tags 23 MiB
Python 76.8%
Rust 21.6%
Jupyter Notebook 0.7%
Nix 0.6%
Assembly 0.1%
Other 0.1%
Go to file
whitequark 5d64df829e transforms.artiq_ir_generator: fix devirtualized call annotation. 2015-10-14 16:12:00 +03:00
.travis Revert "travis: export llvm-or1k lib/ in LD_LIBRARY_PATH." 2015-10-14 14:49:40 +03:00
artiq transforms.artiq_ir_generator: fix devirtualized call annotation. 2015-10-14 16:12:00 +03:00
conda conda: llvmlite-artiq: test by importing binding. 2015-10-14 16:01:36 +03:00
doc doc: more updates for dataset API 2015-10-13 18:45:04 +08:00
examples examples: logging from experiment 2015-10-14 16:31:07 +08:00
lit-test Merge branch 'master' into new-py2llvm 2015-10-14 16:09:57 +03:00
misc Add binutils patch. 2015-08-09 23:33:00 +03:00
soc Merge branch 'master' of github.com:m-labs/artiq into new-py2llvm 2015-09-27 18:22:28 +03:00
.gitignore Merge branch 'master' into new-py2llvm 2015-10-13 19:24:45 +03:00
.gitmodules git: ignore untracked files in lwip submodule 2015-05-03 20:48:20 +08:00
.travis.yml Merge branch 'master' into new-py2llvm 2015-10-13 19:24:45 +03:00
CONTRIBUTING CONTRIBUTING: s/real name/legal name/. 2015-09-09 16:08:58 +08:00
LICENSE update copyright/license 2015-09-05 15:50:34 -06:00
README.rst update copyright/license 2015-09-05 15:50:34 -06:00
setup.py Merge branch 'master' into new-py2llvm 2015-10-13 19:24:45 +03:00

README.rst 

.. image:: doc/logo/artiq.png
.. image:: https://travis-ci.org/m-labs/artiq.svg
    :target: https://travis-ci.org/m-labs/artiq

ARTIQ (Advanced Real-Time Infrastructure for Quantum physics) is a
next-generation control system for quantum information experiments. It is
developed in partnership with the Ion Storage Group at NIST, and its
applicability reaches beyond ion trapping.

The system features a high-level programming language that helps describing
complex experiments, which is compiled and executed on dedicated hardware with
nanosecond timing resolution and sub-microsecond latency.

Technologies employed include Python, Migen, MiSoC/mor1kx, LLVM and llvmlite.

Website:
http://m-labs.hk/artiq

Copyright (C) 2014-2015 M-Labs Limited. Licensed under GNU GPL version 3.